## NA values found in column: q71 - Number of NAs: 12
##
## Caricamento pacchetto: 'lubridate'
## I seguenti oggetti sono mascherati da 'package:base':
##
## date, intersect, setdiff, union
From the graphs above we can see that, while the DMA score computation looks incorrect, the error stems from just 3 dimensions out of 6: dimension 2,3 and 4, with dimension 2 being the most “biased” one on average.
## [1] 12 13 16 36 92 123 136 567 1488 2322 2392 2446 3503
## time sme_name assess_date
## 12 0 My favorite SME 2023-03-03
## 13 0 My favorite SME 2023-03-08
## 16 1 My favorite SME 2023-03-10
## 36 0 TESTE COMPANY 2023-04-13
## 92 0 TESTE MPS 2 2023-05-15
## 123 0 Statotest 2023-05-30
## 136 0 Biedrība "KOKMUIŽA" (tests) 2023-05-31
## 567 0 Sertifikācijas un testēšanas centrs, SIA 2023-08-09
## 1488 0 test aa 2023-11-23
## 2322 0 test ondo 2024-01-18
## 2392 1 test ondo 2024-01-19
## 2446 0 SME test 2024-01-23
## 3503 0 Test SME 2024-03-19
## ent_name fiscal_code q11ai
## 12 My favorite SME 9.9999999999999904E+23 0
## 13 My favorite SME 9.9999999999999904E+23 1
## 16 My favorite SME 9.9999999999999904E+23 0
## 36 TESTE COMPANY 529897768 1
## 92 TESTE MPS 2 303311509 0
## 123 Statotest CZ09380949 1
## 136 SIA Arbora 43603053170 1
## 567 Sertifikācijas un testēšanas centrs, SIA 40003025542 1
## 1488 test aa 0900238CY 0
## 2322 test ondo BG175036374 0
## 2392 test ondo BG175036374 1
## 2446 SME test CZ123456 0
## 3503 Test SME No VAT Num applicable 1
## q11pi q12ai q12pi q13ai q13pi q14ai q14pi q15ai q15pi q16ai q16pi q17ai
## 12 0 0 0 0 0 0 0 0 0 0 0 0
## 13 0 1 0 1 0 1 0 0 0 0 0 0
## 16 0 0 0 0 0 0 0 0 0 0 0 0
## 36 0 0 1 1 0 0 1 1 0 0 0 1
## 92 0 0 0 0 0 0 0 0 0 0 0 0
## 123 0 1 0 1 0 0 1 0 1 0 1 0
## 136 0 0 1 1 0 0 1 1 0 0 1 1
## 567 0 1 0 1 1 0 1 1 0 0 1 0
## 1488 0 0 0 0 0 0 0 0 0 0 0 0
## 2322 1 0 1 0 1 0 1 0 1 0 0 0
## 2392 1 1 1 0 1 0 0 0 0 0 0 0
## 2446 0 0 0 0 0 0 0 0 0 0 0 0
## 3503 1 1 0 1 0 1 0 0 1 0 0 0
## q17pi q18ai q18pi q19ai q19pi q110ai q110pi q21 q22 q23 q24 q25 q26 q27
## 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 13 0 0 0 0 0 0 0 0 0 1 0 0 1 0
## 16 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 36 0 0 1 1 0 0 1 0 1 0 1 0 1 0
## 92 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 123 1 1 0 0 1 1 0 1 1 1 1 0 0 1
## 136 0 0 1 1 0 0 1 0 0 0 0 0 0 0
## 567 1 1 0 1 0 0 1 1 0 1 1 1 1 1
## 1488 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 2322 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 2392 0 0 0 0 0 0 0 1 1 1 1 1 1 1
## 2446 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3503 0 0 0 0 0 1 0 1 1 0 0 0 0 0
## q28 q29 q210 q31 q32 q33 q34 q35 q36 q37 q38 q39 q310 q41 q42 q43 q44 q45
## 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0
## 13 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0
## 16 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0
## 36 0 0 0 0 1 0 1 1 1 0 0 0 0 0.2 0.4 0.6 0.6 0.4
## 92 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0
## 123 1 0 0 1 1 0 0 0 0 0 1 0 1 0.8 0.0 1.0 0.0 1.0
## 136 0 0 0 0 0 0 0 0 0 0 0 0 0 0.6 0.8 0.8 0.6 0.8
## 567 0 1 0 1 1 1 0 0 0 0 1 0 0 0.0 0.0 0.0 0.0 0.0
## 1488 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0
## 2322 0 0 1 1 0 0 0 0 0 0 0 0 0 0.8 0.6 0.4 0.2 0.0
## 2392 1 1 1 1 1 1 1 1 1 1 1 1 1 1.0 1.0 1.0 1.0 1.0
## 2446 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0
## 3503 1 1 0 1 1 0 1 0 0 0 1 0 1 1.0 0.4 0.8 0.8 0.8
## q46 q47 q51 q52 q53 q54 q55 q56 q57 q61 q62 q63 q64 q65 q66 q67 q68 q71
## 12 0.0 0.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 13 0.0 0.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 16 0.0 0.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 36 0.4 0.6 0 1 0 1 0 1 0 0 1 1 1 1 0 0 0 0
## 92 0.0 0.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 123 0.0 0.0 0 0 1 0 0 0 0 0 1 0 0 1 0 0 0 1
## 136 0.8 0.6 0 1 0 1 0 1 0 0 0 0 0 0 0 0 0 0
## 567 0.0 0.0 1 1 1 1 0 1 0 1 1 1 0 1 1 1 0 1
## 1488 0.0 0.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 2322 1.0 0.0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0
## 2392 1.0 1.0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 2446 0.0 0.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3503 0.2 0.4 1 1 0 1 0 1 0 1 1 0 1 0 1 0 0 1
## q72 q73 q74 q75 q76 q77 q78 q81 q82 q83 q84 q85 q86 q91 q92 q93 q94 q95
## 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0
## 13 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0
## 16 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0
## 36 0 1 1 1 0 0 0 0 1 0 1 1 0 0.2 0.4 0.6 0.4 0.6
## 92 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0
## 123 0 1 1 1 1 0 0 0 1 0 0 1 0 0.0 0.0 0.0 0.0 1.0
## 136 0 1 0 1 0 1 0 0 1 0 1 0 1 0.6 0.8 0.6 0.8 0.6
## 567 0 1 1 1 1 0 0 1 1 1 1 1 1 0.0 0.0 0.0 0.0 0.0
## 1488 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0
## 2322 0 0 1 0 0 0 0 0 0 0 0 1 0 1.0 0.8 0.6 0.4 0.2
## 2392 1 1 1 1 1 1 1 1 1 1 1 1 1 1.0 1.0 1.0 1.0 1.0
## 2446 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0
## 3503 0 1 0 0 0 0 0 1 1 1 1 1 1 0.2 0.4 0.6 1.0 0.8
## q101 q102 q103 q104 q105 q106 q107 q108 q109 q1010 q111 q112 q113 q114
## 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 13 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 16 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 36 0 1 1 1 0 0 0 0 0 0 1 2 0 1
## 92 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 123 0 0 0 0 0 0 0 0 0 1 1 0 1 0
## 136 0 1 1 0 1 0 1 0 1 0 2 1 1 1
## 567 0 0 0 0 0 0 1 1 0 1 1 0 1 0
## 1488 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 2322 0 0 0 0 0 0 0 0 0 1 1 2 2 1
## 2392 1 1 1 1 1 1 1 1 1 1 2 1 1 1
## 2446 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3503 1 1 0 1 1 0 1 0 0 1 1 2 0 0
## q115 dmascore dbsscore drscore hcdscore dmscore aaiscore gdscore q1score
## 12 0 0 0 0 0 0 0 0 0
## 13 0 3 20 0 0 0 0 0 13
## 16 0 0 0 0 0 0 0 0 0
## 36 0 42 40 43 46 46 44 35 30
## 92 0 0 0 0 0 0 0 0 0
## 123 0 33 53 40 20 52 20 15 33
## 136 1 43 33 36 21 46 68 55 33
## 567 1 45 60 20 73 86 0 30 37
## 1488 0 0 0 0 0 0 0 0 0
## 2322 0 28 20 26 13 15 60 35 17
## 2392 1 88 50 100 100 100 100 80 17
## 2446 0 0 0 0 0 0 0 0 0
## 3503 2 54 37 56 54 64 60 55 23
## q2score q3score q4score q5score q6score q7score q8score q9score q10score
## 12 0 0 0 0 0 0 0 0 0
## 13 7 0 0 0 0 0 0 0 0
## 16 0 0 0 0 0 0 0 0 0
## 36 10 20 23 21 25 21 25 44 15
## 92 0 0 0 0 0 0 0 0 0
## 123 20 20 20 7 12 36 17 20 5
## 136 0 0 36 21 0 21 25 68 25
## 567 23 20 0 36 38 36 50 0 15
## 1488 0 0 0 0 0 0 0 0 0
## 2322 3 5 21 7 6 7 8 60 5
## 2392 33 50 50 50 50 50 50 100 50
## 2446 0 0 0 0 0 0 0 0 0
## 3503 13 25 31 29 25 14 50 60 30
## q11score
## 12 0
## 13 0
## 16 0
## 36 20
## 92 0
## 123 10
## 136 30
## 567 15
## 1488 0
## 2322 30
## 2392 30
## 2446 0
## 3503 25
## [1] 2109 2445
## sme_name fiscal_code time assess_date
## 2138 Sertifikācijas un testēšanas centrs, SIA 40003025542 0 2023-08-09
## 2476 Statotest CZ09380949 0 2023-05-30
## ent_name q11ai q11pi q12ai q12pi q13ai
## 2138 Sertifikācijas un testēšanas centrs, SIA 1 0 1 0 1
## 2476 Statotest 1 0 1 0 1
## q13pi q14ai q14pi q15ai q15pi q16ai q16pi q17ai q17pi q18ai q18pi q19ai
## 2138 1 0 1 1 0 0 1 0 1 1 0 1
## 2476 0 0 1 0 1 0 1 0 1 1 0 0
## q19pi q110ai q110pi q21 q22 q23 q24 q25 q26 q27 q28 q29 q210 q31 q32 q33
## 2138 0 0 1 1 0 1 1 1 1 1 0 1 0 1 1 1
## 2476 1 1 0 1 1 1 1 0 0 1 1 0 0 1 1 0
## q34 q35 q36 q37 q38 q39 q310 q41 q42 q43 q44 q45 q46 q47 q51 q52 q53 q54
## 2138 0 0 0 0 1 0 0 0.0 0 0 0 0 0 0 1 1 1 1
## 2476 0 0 0 0 1 0 1 0.8 0 1 0 1 0 0 0 0 1 0
## q55 q56 q57 q61 q62 q63 q64 q65 q66 q67 q68 q71 q72 q73 q74 q75 q76 q77
## 2138 0 1 0 1 1 1 0 1 1 1 0 1 0 1 1 1 1 0
## 2476 0 0 0 0 1 0 0 1 0 0 0 1 0 1 1 1 1 0
## q78 q81 q82 q83 q84 q85 q86 q91 q92 q93 q94 q95 q101 q102 q103 q104 q105
## 2138 0 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0
## 2476 0 0 1 0 0 1 0 0 0 0 0 1 0 0 0 0 0
## q106 q107 q108 q109 q1010 q111 q112 q113 q114 q115 dmascore dbsscore
## 2138 0 1 1 0 1 1 0 1 0 1 45 60
## 2476 0 0 0 0 1 1 0 1 0 0 33 53
## drscore hcdscore dmscore aaiscore gdscore q1score q2score q3score q4score
## 2138 20 73 86 0 30 37 23 20 0
## 2476 40 20 52 20 15 33 20 20 20
## q5score q6score q7score q8score q9score q10score q11score country
## 2138 36 38 36 50 0 15 15 Latvia
## 2476 7 12 36 17 20 5 10 Czechia
## region sector
## 2138 Latvija Agricultural biotechnology and food biotechnology
## 2476 Střední Čechy Security
## size dma_score dig_business_strat dig_readiness
## 2138 Small-size (10-49) 45 60 20
## 2476 Small-size (10-49) 33 53 40
## hum_centr_dig data_gov automation_ai green_dig edih_name edih_type
## 2138 73 86 0 30 EDIHLV EDIH
## 2476 20 52 20 15 EDIH Saxony EDIH
## dma_bias dbs_bias dr_bias hcd_bias dm_bias aai_bias gd_bias
## 2138 0 0 0 0 0 0 0
## 2476 0 0 0 0 0 0 0
## [1] sme_name fiscal_code time
## [4] assess_date ent_name q11ai
## [7] q11pi q12ai q12pi
## [10] q13ai q13pi q14ai
## [13] q14pi q15ai q15pi
## [16] q16ai q16pi q17ai
## [19] q17pi q18ai q18pi
## [22] q19ai q19pi q110ai
## [25] q110pi q21 q22
## [28] q23 q24 q25
## [31] q26 q27 q28
## [34] q29 q210 q31
## [37] q32 q33 q34
## [40] q35 q36 q37
## [43] q38 q39 q310
## [46] q41 q42 q43
## [49] q44 q45 q46
## [52] q47 q51 q52
## [55] q53 q54 q55
## [58] q56 q57 q61
## [61] q62 q63 q64
## [64] q65 q66 q67
## [67] q68 q71 q72
## [70] q73 q74 q75
## [73] q76 q77 q78
## [76] q81 q82 q83
## [79] q84 q85 q86
## [82] q91 q92 q93
## [85] q94 q95 q101
## [88] q102 q103 q104
## [91] q105 q106 q107
## [94] q108 q109 q1010
## [97] q111 q112 q113
## [100] q114 q115 dmascore
## [103] dbsscore drscore hcdscore
## [106] dmscore aaiscore gdscore
## [109] q1score q2score q3score
## [112] q4score q5score q6score
## [115] q7score q8score q9score
## [118] q10score q11score country
## [121] region sector size
## [124] dma_score dig_business_strat dig_readiness
## [127] hum_centr_dig data_gov automation_ai
## [130] green_dig edih_name edih_type
## [133] dma_bias dbs_bias dr_bias
## [136] hcd_bias dm_bias aai_bias
## [139] gd_bias
## <0 righe> (o 0-length row.names)
## sme_name fiscal_code country
## 173 Motas Group B.V. KVK 66418402 Netherlands
## 223 TOROI DESARROLLOS MARINOS SL B44872695 Spain
## 243 Stålhaven ApS 41458682 Denmark
## 247 wattanywhere FR34903951317 France
## 487 Golfmore 33593082 Denmark
## 529 PROSIGMA PLUS D.O.O. 19873662 Slovenia
## 544 Atomic Advertising Ltd IE8279207C Ireland
## 795 SIA Ganību dambis 15 40103992961 Latvia
## 908 Konrad Holding 0656.636.154 Belgium
## 943 mar di levante srl 06353080721 Italy
## 1038 Ruponen Olli-Pekka Sakari 1328645-8 Finland
## 1386 Baltic Transport Partner, UAB NO VAT Lithuania
## 1564 StartBite IE4078322AH Ireland
## 1766 Complimac B.V. NL864340011B01 Netherlands
## 1773 CibusMed 800832330 Greece
## 1812 ELIWELL IBERICA, S.A. A96127980 Spain
## 1993 SIA "Amber cosmetics" 50103933211 Latvia
## 2098 Inversiones Albarragena SLU B88160395 Spain
## 2468 Raudonas Mygtukas, MB LT100011030610 Lithuania
## 2546 Atžalas, UAB 305159582 Lithuania
## 2583 ELVEZ d.o.o. 76413187 Slovenia
## 3078 Augaliniai gaminiai, MB 305915364 Lithuania
## 3128 Bigger Scope Oy FI31145114 Finland
## 3148 GESFI FR28488817602 France
## 3152 Telco Electronics A/S 87255816 Denmark
## region
## 173 Noord-Holland
## 223 Cataluña
## 243 Nordjylland
## 247 Franche-Comté
## 487 Midtjylland
## 529 Vzhodna Slovenija
## 544 Eastern and Midland
## 795 Latvija
## 908 Prov. Antwerpen
## 943 Puglia
## 1038 Etelä-Suomi
## 1386 Vidurio ir vakarų Lietuvos regionas
## 1564 Northern and Western
## 1766 Noord-Brabant
## 1773 Attiki
## 1812 Comunitat Valenciana
## 1993 Latvija
## 2098 Extremadura
## 2468 Vidurio ir vakarų Lietuvos regionas
## 2546 Vidurio ir vakarų Lietuvos regionas
## 2583 Zahodna Slovenija
## 3078 Vidurio ir vakarų Lietuvos regionas
## 3128 Helsinki-Uusimaa
## 3148 Bretagne
## 3152 Nordjylland
## sector size
## 173 Personal services Micro-size (1-9)
## 223 Manufacturing and processing Micro-size (1-9)
## 243 Metal working and industrial production Micro-size (1-9)
## 247 Energy, fuels and petroleum engineering Micro-size (1-9)
## 487 Cultural and creative economy Micro-size (1-9)
## 529 Environment Micro-size (1-9)
## 544 Cultural and creative economy Small-size (10-49)
## 795 Real estate Micro-size (1-9)
## 908 Automotive Micro-size (1-9)
## 943 Transport & Mobility Micro-size (1-9)
## 1038 Food and beverages Micro-size (1-9)
## 1386 Manufacturing and processing Small-size (10-49)
## 1564 Personal services Micro-size (1-9)
## 1766 Construction & Assembly Small-size (10-49)
## 1773 Health care Small-size (10-49)
## 1812 Manufacturing and processing Small-size (10-49)
## 1993 Consumer products Micro-size (1-9)
## 2098 Travel and tourism Micro-size (1-9)
## 2468 Personal services Micro-size (1-9)
## 2546 Manufacturing and processing Small-size (10-49)
## 2583 Manufacturing and processing Medium-size (50-249)
## 3078 Agricultural biotechnology and food biotechnology Micro-size (1-9)
## 3128 Telecommunications Micro-size (1-9)
## 3148 Community-Led Local Development Small-size (10-49)
## 3152 Manufacturing and processing Medium-size (50-249)
## time assess_date dma_score dig_business_strat dig_readiness hum_centr_dig
## 173 0 2023-06-21 46 47 36 54
## 223 0 2024-02-19 41 40 19 32
## 243 0 2024-02-07 33 43 36 54
## 247 0 2024-02-16 29 43 46 13
## 487 0 2024-01-30 50 63 52 86
## 529 0 2024-01-31 20 10 35 34
## 544 0 2024-02-08 48 43 36 86
## 795 0 2024-01-22 14 47 0 29
## 908 0 2024-02-26 13 33 25 0
## 943 0 2023-12-28 23 37 22 21
## 1038 0 2024-01-16 48 53 38 40
## 1386 0 2023-12-12 16 37 10 13
## 1564 0 2023-12-04 21 23 25 20
## 1766 0 2023-11-20 30 57 26 45
## 1773 0 2023-11-14 59 60 30 93
## 1812 0 2023-11-21 54 50 47 100
## 1993 0 2023-10-25 21 20 20 40
## 2098 0 2023-07-22 38 40 21 39
## 2468 0 2023-08-29 19 33 20 7
## 2546 0 2022-11-04 9 17 8 13
## 2583 0 2023-08-11 50 47 48 33
## 3078 0 2023-05-29 31 70 33 46
## 3128 0 2023-05-09 60 47 50 80
## 3148 0 2023-07-26 36 50 30 27
## 3152 0 2023-05-03 16 23 25 6
## data_gov automation_ai green_dig edih_name edih_type
## 173 31 60 50 EDIH-NWNL EDIH
## 223 31 60 65 DIH4CAT EDIH
## 243 45 20 0 AddSmart EDIH
## 247 14 16 40 DEDIHCATED BFC EDIH
## 487 68 8 20 CD-EDIH EDIH
## 529 30 0 10 DIGI-SI EDIH
## 544 52 28 40 CeADAR EDIH
## 795 7 0 0 EDIHLV EDIH
## 908 7 0 10 DIGITALIS EDIH
## 943 15 0 40 CETMA-DIHSME EDIH
## 1038 30 52 75 Robocoast EDIH
## 1386 23 0 15 DI4 LITHUANIAN ID EDIH
## 1564 23 12 20 FxC EDIH
## 1766 39 4 10 EDIH-SNL EDIH
## 1773 100 48 25 HEALTH HUB Seal of Excellence
## 1812 76 0 50 InnDIH EDIH
## 1993 15 8 25 DAoL EDIH
## 2098 77 4 45 Tech4EfficiencyEDIH EDIH
## 2468 24 0 30 EDIH4IAE.LT EDIH
## 2546 15 0 0 EDIH4IAE.LT EDIH
## 2583 70 36 65 DIGI-SI EDIH
## 3078 0 4 35 EDIH4IAE.LT EDIH
## 3128 93 40 50 FAIR EDIH
## 3148 63 4 40 EDIH BRETAGNE EDIH
## 3152 32 0 10 AddSmart EDIH
## [1] 290 839 1184 1254 1650 1752 1830 1990 2173 2209 2450 2490 2513 2609 2631
## [16] 2635 2921 3006 3068 3082 3139 3158 3225 3226
## sme_name fiscal_code
## 290 TEST SME 345678
## 840 test ondo BG175036374
## 1186 ESMEDRAGO S.L. B50766021
## 1256 Test SME 12/345/67890
## 1652 Hissmekano Estonia OÜ 11396053
## 1755 Al_Test_from form 1234zxz
## 1833 Test 5555-223344
## 1993 SIA "Amber cosmetics" 50103933211
## 2176 SAINT NAZAIRE AGGLOMERATION TOURISME 828 620 831
## 2212 Sensmetry, UAB 305079257
## 2453 Rasmedis, UAB LT100006759414
## 2493 Erismet OÜ 11951193
## 2516 AL_Test_from site 1234xzx
## 2612 Ceļu satiksmes drošības direkcija, VAS 40003345734
## 2634 Starptautiskā Kosmetoloģijas koledža, SIA 40003253478
## 2638 Sertifikācijas un testēšanas centrs, SIA 40003025542
## 2924 test 123458
## 3009 Presme 125341366
## 3071 Statotest CZ09380949
## 3085 Biedrība "KOKMUIŽA" (tests) 43603053170
## 3142 Test 07777777
## 3161 tests 2 25242333
## 3229 My favorite SME 999999999999999999999999
## 3230 test 2222222
## country region
## 290 Ireland Southern
## 840 Bulgaria Yugoiztochen
## 1186 Spain Aragón
## 1256 Germany Karlsruhe
## 1652 Estonia Eesti
## 1755 Italy Sicilia
## 1833 Sweden Norra Mellansverige
## 1993 Latvia Latvija
## 2176 France Pays de la Loire
## 2212 Lithuania Vidurio ir vakarų Lietuvos regionas
## 2453 Lithuania Vidurio ir vakarų Lietuvos regionas
## 2493 Estonia Eesti
## 2516 Italy Sicilia
## 2612 Latvia Latvija
## 2634 Latvia Latvija
## 2638 Latvia Latvija
## 2924 Spain Andalucía
## 3009 Lithuania Vidurio ir vakarų Lietuvos regionas
## 3071 Czechia Střední Čechy
## 3085 Latvia <NA>
## 3142 Bulgaria Severoiztochen
## 3161 Latvia Latvija
## 3229 France <NA>
## 3230 Latvia <NA>
## sector
## 290 Energy
## 840 Agricultural biotechnology and food biotechnology
## 1186 Agricultural biotechnology and food biotechnology
## 1256 Automotive
## 1652 Manufacturing and processing
## 1755 Energy
## 1833 Manufacturing and processing
## 1993 Consumer products
## 2176 Travel and tourism
## 2212 Telecommunications
## 2453 Manufacturing and processing
## 2493 Manufacturing and processing
## 2516 Energy, fuels and petroleum engineering
## 2612 Public administration
## 2634 Health care
## 2638 Agricultural biotechnology and food biotechnology
## 2924 Agricultural biotechnology and food biotechnology
## 3009 Personal services
## 3071 Security
## 3085 Consumer products
## 3142 Agricultural biotechnology and food biotechnology
## 3161 Aeronautics
## 3229 Automotive
## 3230 Automotive
## size time assess_date dma_score
## 290 Small-size (10-49) 0 2024-02-13 43
## 840 Micro-size (1-9) 1 2024-01-19 88
## 1186 Small-size (10-49) 0 2023-11-20 36
## 1256 Medium-size (50-249) 0 2023-12-18 38
## 1652 Small-size (10-49) 0 2023-10-30 40
## 1755 Micro-size (1-9) 0 2023-08-22 52
## 1833 Small-size (10-49) 2 2024-01-25 36
## 1993 Micro-size (1-9) 0 2023-10-25 21
## 2176 Small-size (10-49) 0 2023-09-25 30
## 2212 Small-size (10-49) 0 2023-07-13 16
## 2453 Micro-size (1-9) 0 2023-08-16 8
## 2493 Micro-size (1-9) 1 2023-12-27 47
## 2516 Micro-size (1-9) 0 2023-08-22 55
## 2612 Small mid-cap (250-499 employees) 0 2023-08-10 86
## 2634 Small-size (10-49) 0 2023-08-09 48
## 2638 Small-size (10-49) 0 2023-08-09 45
## 2924 Small-size (10-49) 0 2023-06-19 37
## 3009 Micro-size (1-9) 0 2023-06-12 29
## 3071 Small-size (10-49) 0 2023-05-30 33
## 3085 Medium-size (50-249) 0 2023-05-31 43
## 3142 Small mid-cap (250-499 employees) 0 2023-05-04 23
## 3161 Micro-size (1-9) 0 2023-05-11 45
## 3229 Small-size (10-49) 0 2023-03-08 3
## 3230 Small-size (10-49) 0 2023-02-21 23
## dig_business_strat dig_readiness hum_centr_dig data_gov automation_ai
## 290 47 34 40 62 20
## 840 50 100 100 100 100
## 1186 33 25 59 30 24
## 1256 40 32 33 31 36
## 1652 57 41 46 29 40
## 1755 53 56 81 44 40
## 1833 37 42 27 30 32
## 1993 20 20 40 15 8
## 2176 43 35 32 38 4
## 2212 10 41 6 24 16
## 2453 23 20 0 0 0
## 2493 50 71 34 51 36
## 2516 53 56 81 44 40
## 2612 100 66 93 100 72
## 2634 63 33 80 48 12
## 2638 60 20 73 86 0
## 2924 33 39 27 31 48
## 3009 23 21 33 38 16
## 3071 53 40 20 52 20
## 3085 33 36 21 46 68
## 3142 10 20 27 31 28
## 3161 57 41 46 46 40
## 3229 20 0 0 0 0
## 3230 30 29 13 8 40
## green_dig edih_name edih_type
## 290 55 ENTIRE Seal of Excellence
## 840 80 AgroDigiRise EDIH
## 1186 45 Aragon EDIH EDIH
## 1256 55 EDIH-AICS EDIH
## 1652 25 AIRE EDIH
## 1755 40 ARTES 5.0 EDIH
## 1833 45 MIGHTY EDIH Seal of Excellence
## 1993 25 DAoL EDIH
## 2176 30 DIVA EDIH
## 2212 0 EDIH4IAE.LT EDIH
## 2453 5 EDIH4IAE.LT EDIH
## 2493 40 AIRE EDIH
## 2516 55 ARTES 5.0 EDIH
## 2612 85 EDIHLV EDIH
## 2634 50 EDIHLV EDIH
## 2638 30 EDIHLV EDIH
## 2924 45 AgrotechDIH EDIH
## 3009 40 EDIH4IAE.LT EDIH
## 3071 15 EDIH Saxony EDIH
## 3085 55 EDIHLV EDIH
## 3142 20 CYBER4All STAR EDIH
## 3161 40 EDIHLV EDIH
## 3229 0 DEDIHCATED BFC EDIH
## 3230 20 EDIHLV EDIH
## [1] sme_name fiscal_code country region
## [5] sector size time assess_date
## [9] dma_score dig_business_strat dig_readiness hum_centr_dig
## [13] data_gov automation_ai green_dig edih_name
## [17] edih_type
## <0 righe> (o 0-length row.names)
## sme_name
## 86 CEATA
## 205 Evers & Evers BV
## 220 QMware Austria GmbH
## 875 Método Free 2030, S.L.
## 1135 Lesecafé und Buchhandlung GmbH
## 1204 Creoby
## 1205 Treed
## 1494 Coronam BV
## 1495 KMWE Toolmanagers BV
## 1496 Keytec BV
## 1497 Itter BV
## 1499 Boers & Co
## 1501 dexter group BV
## 1502 van Dijk Inpijn BV
## 1503 ter Hoek vonkerosie BV
## 1526 de Cromvoirtse BV
## 1527 Hieselaar BV
## 1529 247lasersnijden
## 1530 Dumaco S'Gravenpolder BV
## 1531 TMI Rhenen BV
## 1532 Arendsen plaatwerk BV
## 1533 Koolmees Forceer techniek BV
## 1534 Metagro BV
## 1535 Suplacon BV
## 1536 BOZ group BV
## 1695 riprova2FORM
## 2005 Cocina Alve S.l.
## 2027 Perfici Intelligence Limited
## 2029 Searsol Limited
## 2183 Palko Interactive Oy
## 2184 ayeaye systems
## 2226 STW - Sächsische Textilwerke GmbH
## 2515 AuRo
## 2594 Gasokol GmbH
## 2603 B-Side
## 2890 thinkport VIENNA - logistics innovations hub. Verein zur Förderung von Innovationen in der Logistik
## 2905 d
## 3072 Glaice
## 3145 ArtRock Kletterwände GesmbH
## 3211 pair
## 3214 honeepot
## fiscal_code
## 86 B06943161\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t PERIODO \tMES 1\t\t\t\tMES 2\t\t\t\tMES 3\t\t\t\tMES 4\t\t\t\tMES 5\t FASE 1: PRESENTACIÓN Y LANZAMIENTO\tS1\tS2\tS3\tS4\tS5\tS6\tS7\tS8\tS9\tS10\tS11\tS12\tS13\tS14\tS15\tS16\tS17\tS18 Revisión de la planificación y lanzamiento
## 205 NL813566630b01
## 220 FN 579018y
## 875 Método Free 2030, S.L.
## 1135 USt-IdNr.DE 111619655
## 1204 Not funded, yet.
## 1205 Not founded, yet.
## 1494 nl006629982b01
## 1495 nl810727699b01
## 1496 nl809191581b01
## 1497 nl004635644b01
## 1499 nl005671796b01
## 1501 nl826128300b01
## 1502 nl800138417b01
## 1503 nl814215919b01
## 1526 nl009908948b01
## 1527 nl820459422b01
## 1529 nl859100303b01
## 1530 nl812375932b01
## 1531 nl007624451b01
## 1532 nl802718280b01
## 1533 nl803844694b01
## 1534 nl8056625872b01
## 1535 nl009930759b01
## 1536 nl003720718b01
## 1695 1234abcd
## 2005 b78591740
## 2027 IE3771595sh
## 2029 03494625hh
## 2183 Y-tunnus 2232282-8
## 2184 NL86a4814380B01
## 2226 unbekannt (39)
## 2515 not yet available August 22, 2023
## 2594 FN138911g
## 2603 be0470199481
## 2890 ZVR-Zahl: 1816907511
## 2905 d
## 3072 ausstehend
## 3145 FN 33519 v, LG Innsbruck, Tirol
## 3211 not yet available 2
## 3214 not yet available
## country region
## 86 Spain Comunidad Foral de Navarra
## 205 Netherlands Noord-Brabant
## 220 Austria Wien
## 875 Spain Comunidad de Madrid
## 1135 Germany Darmstadt
## 1204 Germany Köln
## 1205 Germany Köln
## 1494 Netherlands Noord-Holland
## 1495 Netherlands Noord-Brabant
## 1496 Netherlands Limburg (NL)
## 1497 Netherlands Overijssel
## 1499 Netherlands Zuid-Holland
## 1501 Netherlands Gelderland
## 1502 Netherlands Zuid-Holland
## 1503 Netherlands Overijssel
## 1526 Netherlands Noord-Brabant
## 1527 Netherlands Zuid-Holland
## 1529 Netherlands Zuid-Holland
## 1530 Netherlands Zeeland
## 1531 Netherlands Utrecht
## 1532 Netherlands Gelderland
## 1533 Netherlands Zuid-Holland
## 1534 Netherlands Gelderland
## 1535 Netherlands Flevoland
## 1536 Netherlands Noord-Brabant
## 1695 Italy Sicilia
## 2005 Spain Comunidad de Madrid
## 2027 Ireland Northern and Western
## 2029 Ireland Northern and Western
## 2183 Finland Etelä-Suomi
## 2184 Netherlands Noord-Holland
## 2226 Germany Chemnitz
## 2515 Germany Hamburg
## 2594 Austria Oberösterreich
## 2603 Belgium Prov. Hainaut
## 2890 Austria Wien
## 2905 Spain País Vasco
## 3072 Germany Leipzig
## 3145 Austria Tirol
## 3211 Germany Hamburg
## 3214 Germany Hamburg
## sector size time
## 86 Environment Micro-size (1-9) 0
## 205 Manufacturing and processing Small-size (10-49) 0
## 220 Education Small-size (10-49) 0
## 875 Education Micro-size (1-9) 0
## 1135 Cultural and creative economy Micro-size (1-9) 0
## 1204 Energy Micro-size (1-9) 0
## 1205 Community-Led Local Development Micro-size (1-9) 0
## 1494 Metal working and industrial production Medium-size (50-249) 0
## 1495 Metal working and industrial production Small-size (10-49) 0
## 1496 Metal working and industrial production Medium-size (50-249) 0
## 1497 Metal working and industrial production Small-size (10-49) 0
## 1499 Manufacturing and processing Medium-size (50-249) 0
## 1501 Manufacturing and processing Medium-size (50-249) 0
## 1502 Manufacturing and processing Medium-size (50-249) 0
## 1503 Metal working and industrial production Medium-size (50-249) 0
## 1526 Manufacturing and processing Medium-size (50-249) 0
## 1527 Metal working and industrial production Medium-size (50-249) 0
## 1529 Metal working and industrial production Small-size (10-49) 0
## 1530 Metal working and industrial production Medium-size (50-249) 0
## 1531 Metal working and industrial production Small-size (10-49) 0
## 1532 Metal working and industrial production Small-size (10-49) 0
## 1533 Metal working and industrial production Small-size (10-49) 0
## 1534 Manufacturing and processing Medium-size (50-249) 0
## 1535 Metal working and industrial production Medium-size (50-249) 0
## 1536 Metal working and industrial production Medium-size (50-249) 0
## 1695 Retail, wholesale or distribution Small-size (10-49) 0
## 2005 Retail, wholesale or distribution Small-size (10-49) 0
## 2027 Life sciences Micro-size (1-9) 0
## 2029 Education Micro-size (1-9) 0
## 2183 Telecommunications Micro-size (1-9) 0
## 2184 Maritime Micro-size (1-9) 0
## 2226 Consumer products Micro-size (1-9) 0
## 2515 Health care Micro-size (1-9) 0
## 2594 Manufacturing and processing Small-size (10-49) 0
## 2603 Manufacturing and processing Micro-size (1-9) 0
## 2890 Personal services Micro-size (1-9) 0
## 2905 Automotive Small-size (10-49) 0
## 3072 Health care Micro-size (1-9) 0
## 3145 Consumer products Small-size (10-49) 0
## 3211 Consumer products Micro-size (1-9) 0
## 3214 Travel and tourism Micro-size (1-9) 0
## assess_date dma_score dig_business_strat dig_readiness hum_centr_dig
## 86 2024-02-27 46 67 56 46
## 205 2024-02-20 58 53 61 86
## 220 2024-02-20 48 33 39 72
## 875 2024-01-03 15 17 25 6
## 1135 2023-10-05 16 30 20 38
## 1204 2023-12-07 35 40 21 39
## 1205 2023-12-13 19 27 25 13
## 1494 2023-12-07 45 40 39 61
## 1495 2023-12-07 51 50 49 74
## 1496 2023-12-07 40 33 45 34
## 1497 2023-12-07 43 37 41 61
## 1499 2023-12-07 57 57 46 81
## 1501 2023-12-07 30 37 22 48
## 1502 2023-12-07 58 53 51 81
## 1503 2023-12-07 43 40 35 62
## 1526 2023-12-06 59 60 61 80
## 1527 2023-12-06 45 40 35 61
## 1529 2023-12-06 65 57 68 81
## 1530 2023-12-06 54 53 54 74
## 1531 2023-12-06 32 40 34 48
## 1532 2023-12-06 45 43 44 47
## 1533 2023-12-06 42 47 29 54
## 1534 2023-12-06 51 60 50 69
## 1535 2023-12-06 62 57 61 88
## 1536 2023-12-06 64 53 61 87
## 1695 2023-11-23 50 50 41 73
## 2005 2023-10-24 34 47 32 21
## 2027 2023-10-19 49 47 44 67
## 2029 2023-10-19 39 40 45 60
## 2183 2023-09-26 53 53 53 71
## 2184 2023-09-21 39 20 41 40
## 2226 2023-01-12 44 40 46 46
## 2515 2023-08-18 15 13 26 0
## 2594 2023-08-29 41 53 36 53
## 2603 2023-08-11 70 50 58 79
## 2890 2023-06-27 35 30 26 33
## 2905 2023-06-23 7 10 9 6
## 3072 2023-05-30 39 50 20 51
## 3145 2023-05-11 52 50 60 57
## 3211 2023-03-29 39 57 27 51
## 3214 2023-03-22 46 60 50 71
## data_gov automation_ai green_dig edih_name edih_type
## 86 31 8 65 IRIS EDIH
## 205 70 16 60 EDIH-SNL EDIH
## 220 63 48 30 Applied CPS EDIH
## 875 31 0 10 EDIH MADRID REGION EDIH
## 1135 8 0 0 EDITH EDIH
## 1204 61 8 40 EDIH Rheinland EDIH
## 1205 23 0 25 EDIH Rheinland EDIH
## 1494 54 24 50 EDIH-SNL EDIH
## 1495 61 24 45 EDIH-SNL EDIH
## 1496 61 28 40 EDIH-SNL EDIH
## 1497 54 12 55 EDIH-SNL EDIH
## 1499 76 28 55 EDIH-SNL EDIH
## 1501 32 8 30 EDIH-SNL EDIH
## 1502 70 40 55 EDIH-SNL EDIH
## 1503 62 16 45 EDIH-SNL EDIH
## 1526 69 28 55 EDIH-SNL EDIH
## 1527 61 24 50 EDIH-SNL EDIH
## 1529 85 28 70 EDIH-SNL EDIH
## 1530 69 24 50 EDIH-SNL EDIH
## 1531 38 4 30 EDIH-SNL EDIH
## 1532 62 24 50 EDIH-SNL EDIH
## 1533 54 20 45 EDIH-SNL EDIH
## 1534 54 20 50 EDIH-SNL EDIH
## 1535 69 36 60 EDIH-SNL EDIH
## 1536 77 48 60 EDIH-SNL EDIH
## 1695 49 40 45 ARTES 5.0 EDIH
## 2005 61 0 45 EDIH MADRID REGION EDIH
## 2027 70 44 20 FxC EDIH
## 2029 45 0 45 FxC EDIH
## 2183 39 56 45 Robocoast EDIH
## 2184 45 48 40 EDIH-NWNL EDIH
## 2226 46 24 60 EDIH Saxony EDIH
## 2515 14 28 10 EDIH4UrbanSAVE EDIH
## 2594 48 4 50 AI5production EDIH
## 2603 93 64 75 WalHub EDIH
## 2890 52 20 50 Crowd in Motion EDIH
## 2905 15 0 0 CIDIHUB EDIH
## 3072 100 4 10 EDIH Saxony EDIH
## 3145 68 32 45 Crowd in Motion EDIH
## 3211 38 28 35 EDIH4UrbanSAVE EDIH
## 3214 61 12 20 EDIH4UrbanSAVE EDIH
## Number of NA values in range q11ai to q115 before replacement: 0
## Number of NA values in range q11ai to q115 after replacement: 0
## Number of NA values in range q11ai to q115 before replacement: 20
## Number of NA values in range q11ai to q115 after replacement: 0
## [1] "Absolute skewness: 0.067091577465314"
## [2] "Absolute skewness: 0.102116270802807"
## [3] "Absolute skewness: 0.307264955584877"
## [4] "Absolute skewness: 0.0207965994059934"
## [5] "Absolute skewness: 0.105006253209107"
## [6] "Absolute skewness: 1.2166240524527"
## [7] "Absolute skewness: 0.430328074803944"
## [1] "Absolute kurtosis: 2.41119264783276" "Absolute kurtosis: 2.83421465338019"
## [3] "Absolute kurtosis: 2.67877419769824" "Absolute kurtosis: 1.93188109798596"
## [5] "Absolute kurtosis: 1.94280282161462" "Absolute kurtosis: 4.15331435473708"
## [7] "Absolute kurtosis: 2.51156851122033"